Computer-Assisted Reading and Discovery for Student Generated Text in Massive Open Online Courses. - Justin Reich; Dustin Tingley; Jetson Leder-Luis; Margaret E. Roberts; Brandon M. Stewart (J. Learn. Anal., 2014)

TopicCheck: Interactive Alignment for Assessing Topic Model Stability. - Jason Chuang; Margaret E. Roberts; Brandon M. Stewart; Rebecca Weiss; Dustin Tingley; Justin Grimmer; Jeffrey Heer (HLT-NAACL, 2015)

Navigating the Local Modes of Big Data: The Case of Topic Models. - Margaret E. Roberts; Brandon M. Stewart; Dustin Tingley (Computational Social Science, 2016)

The Civic Mission of MOOCs: Measuring Engagement across Political Differences in Forums. - Justin Reich; Brandon M. Stewart; Kimia Mavon; Dustin Tingley (L@S, 2016)

Connecting Instructors and Learning Scientists via Collaborative Dynamic Experimentation. - Joseph Jay Williams; Anna N. Rafferty; Andrew M. Ang; Dustin Tingley; Walter S. Lasecki; Juho Kim 001 (CHI Extended Abstracts, 2017)

Adaptive Assessment Experiment in a HarvardX MOOC. - Ilia Rushkin; Yigal Rosen; Andrew M. Ang; Colin Fredericks; Dustin Tingley; Mary Jean Blink; Glenn Lopez (EDM, 2017)

Discourse: MOOC Discussion Forum Analysis at Scale. - Alexander Kindel; Michael Yeomans; Justin Reich; Brandon M. Stewart; Dustin Tingley (L@S, 2017)

Google BigQuery for Education: Framework for Parsing and Analyzing edX MOOC Data. - Glenn Lopez; Daniel T. Seaton; Andrew M. Ang; Dustin Tingley; Isaac L. Chuang (L@S, 2017)

Designing Adaptive Assessments in MOOCs. - Yigal Rosen; Ilia Rushkin; Andrew M. Ang; Colin Fredericks; Dustin Tingley; Mary Jean Blink (L@S, 2017)

MOOC Dropout Prediction: How to Measure Accuracy? - Jacob Whitehill; Kiran Mohan; Daniel T. Seaton; Yigal Rosen; Dustin Tingley (L@S, 2017)

MOOClets: A Framework for Dynamic Experimentation and Personalization. - Joseph Jay Williams; Anna N. Rafferty; Samuel G. Maldonado; Andrew M. Ang; Dustin Tingley; Juho Kim 001 (L@S, 2017)

Delving Deeper into MOOC Student Dropout Prediction. - Jacob Whitehill; Kiran Mohan; Daniel T. Seaton; Yigal Rosen; Dustin Tingley (CoRR, 2017)

Adaptive Learning Open Source Initiative for MOOC Experimentation. - Yigal Rosen; Ilia Rushkin; Rob Rubin; Liberty Munson; Andrew M. Ang; Gregory Weber; Glenn Lopez; Dustin Tingley (AIED (2), 2018)

Enhancing Online Problems Through Instructor-Centered Tools for Randomized Experiments. - Joseph Jay Williams; Anna N. Rafferty; Dustin Tingley; Andrew M. Ang; Walter S. Lasecki; Juho Kim 001 (CHI, 2018)

The effects of adaptive learning in a massive open online course on learners' skill development. - Yigal Rosen; Ilia Rushkin; Rob Rubin; Liberty Munson; Andrew M. Ang; Gregory Weber; Glenn Lopez; Dustin Tingley (L@S, 2018)

The Civic Mission of MOOCs: Engagement across Political Differences in Online Forums. - Michael Yeomans; Brandon M. Stewart; Kimia Mavon; Alexander Kindel; Dustin Tingley; Justin Reich (Int. J. Artif. Intell. Educ., 2018)

The politeness Package: Detecting Politeness in Natural Language. - Michael Yeomans; Alejandro Kantor; Dustin Tingley (R J., 2018)

Modelling and Using Response Times in Online Courses. - Ilia Rushkin; Isaac L. Chuang; Dustin Tingley (J. Learn. Anal., 2019)

Widening Access to Applied Machine Learning with TinyML. - Vijay Janapa Reddi; Brian Plancher; Susan Kennedy; Laurence Moroney; Pete Warden; Anant Agarwal; Colby R. Banbury; Massimo Banzi; Matthew Bennett; Benjamin Brown; Sharad Chitlangia; Radhika Ghosal; et al. (CoRR, 2021)

Which Planning Tactics Predict Online Course Completion? - Ji Yong Cho; Yan Tao; Michael Yeomans; Dustin Tingley; René F. Kizilcec (LAK, 2024)